Hossein Rahmani

Developed and containerized cascade segmentation models for detecting liver and hepatic vessels on 3D CT scans using Docker Employ Totalsegmentator for automated liver segmentation Provide a user manual for data annotation using ITK-SNAP Conducted a systematic review on uncertainty quantification methods in deep learning-based liver and liver tumor segmentation Supervise students in internship and master projects for developing segmentation models

Develop multi-object multi-class detection model for detecting boxes, bags, and envelopes (Yolact) using GPU (CUDA)- in cooperation with Frauenhofer Project Center Develop anomaly detection model (PADIM) to detect defective areas in Gears- in cooperation with AWL company Chaired and managed weekly team meetings, setting agendas, coordinating discussion points, and ensuring timely follow-up on action items to drive project progress and team alignment

Develop an optimization model to find the optimal value of model parameters using Python-Gekko Library Develop a prediction model for Co2 concentration in offices Supervise students for minor project (developing classification model) Report work progress continuously through attendance in weekly project internal meeting